Statistical Science and Philosophy of Science: Whrer Do / Should They Meet in 2011 (and Beyond)? [PDF]
philosophy of science, philosophy of statistics, decision theory, likelihood, subjective probability, Bayesianism, Bayes theorem, Fisher, Neyman and Pearson, Jeffreys, induction, frequentism, reliability ...
Deborah Mayo
core
Consistency of Bayes factor for nonnested model selection when the model dimension grows
, 2016 Zellner's $g$-prior is a popular prior choice for the model selection problems in the context of normal regression models. Wang and Sun [J. Statist. Plann.
Maruyama, Yuzo, Wang, Min
core +1 more source
Analyzing the ‘Bradykinesia Complex’ in Parkinson's Disease
Movement Disorders, EarlyView.Abstract Background Bradykinesia is the hallmark sign of parkinsonism. We recently proposed redefining bradykinesia as a complex of motor abnormalities, each reflecting separate pathophysiological elements. Objective To analyze the ‘bradykinesia complex’ in Parkinson's disease (PD) and healthy elderly individuals.
Giulia Paparella +9 more
wiley +1 more source
Profession recommendation based on multiple intelligence for high school students [PDF]
Management Science LettersOne of the problems students often face is the lack of understanding of their interests and talents which will cause confusion in making future study choices and career plans.
Heribertus Ary Setyadi +3 more
doaj +1 more source
Dynamical Asymmetries, the Bayes’ Theorem, Entanglement, and Intentionality in the Brain Functional Activity [PDF]
, 2023 David Bernal‐Casas, Giuseppe Vitiello
openalex +1 more source
Bayesian Updating, Model Class Selection and Robust Stochastic Predictions of Structural Response [PDF]
, 2011 A fundamental issue when predicting structural response by using mathematical models is how to treat both modeling and excitation uncertainty. A general framework for this is presented which uses probability as a multi-valued conditional logic for ...
Beck, James L.
core
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
MODELO DE PREDICCIÓN PROBABILÍSTICA DE DETERIORO EN JAMÓN DE CERDO COCIDO
VitaeRESUMEN Antecedentes: el deterioro del jamón cocido es un proceso complejo que puede manifestarse por alteraciones de tipo microbiológico, fisicoquímico y sensorial, que hasta hoy han sido determinadas por metodologías tradicionales que incluyen largos
Jhoan Sebastián LONDOÑO-PARRA +2 more
doaj +1 more source
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes
Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2017 This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first.
Laili Wahyunita
doaj +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Quarterly Journal of the Royal Meteorological Society, EarlyView.Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source